AI Systems Engineer

Job Summary

A company is looking for an Artificial Intelligence Engineer with an emphasis in Multi-Modal systems.

Key Responsibilities:

• Research, design, and implement advanced machine learning models that combine vision, RF, and acoustic signals for detection, classification, and tracking tasks
• Architect sensor fusion pipelines that support robust, redundant, and context-aware perception in dynamic environments
• Collaborate closely with domain experts and systems engineers to translate raw sensor data into actionable model inputs

Qualifications:

• PhD or Master's degree in Machine Learning, Computer Vision, Signal Processing, or a closely related field
• 7+ years of experience building and deploying machine learning systems, with a focus on multi-modal or sensor fusion applications
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Demonstrated experience working with camera imagery, RF signals, and/or acoustic data
• Deep understanding of signal alignment, temporal/spatial synchronization, and feature extraction across diverse data types